Procure
Buying is the start, not the end.
We help you choose and buy the right hardware for the job — specs, vendor coordination, and delivery — so the machine that arrives is the one your work actually needs.
Building from Seoul · Researching everywhere
AI for your company alone,
set up and run for you.
Baryon Labs builds AI work environments on your own hardware — from buying the machine to operations, training, and support — using the same tools we run our own business on every day.
01Service
We run your DGX Spark
so it actually gets used.
Baryon Labs runs a service around on-premise AI hardware. From a single DGX Spark to a full rack — we handle procurement, manage the environment through deployment and operations, train the people who use it, and stay on for technical support and consulting.
Manage
Deployment and day-to-day operations.
We set up the full local stack on your hardware — models, serving, team chat, developer tooling — then keep it running: monitoring, updates, model upgrades, and incident response.
Train
Training for the teams who use it.
Onboarding and hands-on training so local AI becomes part of daily work — from tool basics to team workflows built around your actual business.
Support
Technical support that stays.
On-site and remote support after the deployment: questions answered, problems fixed, and the environment kept in step as models and tools move fast.
Consult
Custom skills and pipelines, built for you.
A separate engagement for teams that need more than operations: bespoke agent skills, data pipelines, and workflow automation designed on top of your local AI stack.
We run what we ship
The same practice powers our own paid products.
Every service below runs on local GPUs we operate ourselves. The operations capability is not a promise — it is how Baryon works every day.
Hardware vendors & distributors — we work as the deployment-and-operations backend behind your sales. You keep distribution, sales, and training; we take setup and operations. Complementary, not competing.
AI & AX training companies · in-house L&D teams — we build and operate the hands-on environment behind your programs: local AI machines set up for practice, kept running after the course, with technical support for learners.
02Company
Baryon Labs builds tools
for companies that want AI
to work like a teammate.
We make products for running AI work, seeing what it is doing, and putting it into daily practice. The homepage gives the overview. Each path leads to the full product story.
What we build
Operating surfaces, assistants, and training.
Nautilus helps teams run AI systems over time. ROH makes their behavior visible. miri and TalkMode bring AI into real workflows. Vibecamp helps people learn to use these tools well.
Who it is for
Professionals who need leverage, not novelty.
Founders, operators, engineers, designers, and domain experts use Baryon tools when the work matters enough that delegation, visibility, and control have to improve together.
How to explore
Choose the path that matches your role.
The root stays short. Product pages carry the implementation details, screenshots, installs, and technical depth for the teams that need them.
03Now
Regular online training.
We run recurring online training sessions on building and working with AI agents. Schedules and registration live on Luma.
04How it works
Clear on the surface.
Serious underneath.
You do not need to learn the machinery to understand the value. What matters at the root is simple: our tools help teams delegate work, see what is happening, and stay in control.
Delegation
Assign work without losing context.
Give one task to one assistant or many at once, while keeping the work in a shared place your team can still understand.
- Built for teams, not one-off prompts
- Designed for coordinated work
- Details live in the product paths, not on the homepage
Visibility
See what the AI is doing before trust breaks.
Instead of waiting for a bad result, you can inspect progress, handoffs, and decisions while the work is still moving.
- Useful for operators, reviewers, and clients
- Designed to reduce avoidable surprises
- Technical depth sits behind product-specific pages
Control
Adopt only as much complexity as you need.
Some people want a ready product. Others want a deeper operating surface. We keep both paths open without forcing everyone into the same workflow.
- Start with a tool, expand into a system later
- Use the root to choose, not to study everything
- Go deeper only when the work demands it
For technical teams
If you want the implementation, we keep it visible.
curl -fsSL https://baryonlabs.github.io/install.sh | bash
At a glance
Different tools for different levels of involvement.
Hands-on products
Team workflows
Voice interfaces
Training
Explore
Start with the tool that fits your role and your immediate problem.
Evaluate
Open the dedicated page when you need a deeper explanation, demo, or install path.
Decide
Stay high-level at the root, or go technical only when your team is ready to implement.
05FAQ
Frequently asked.
What does "Baryon" mean, and why?
Baryons are the heavy particles — protons, neutrons — that compose everyday matter. We named the lab after the unsexy thing that everything else depends on. The same way our tools work: the agents you see are built on small, durable primitives that already shipped.
Are your products free?
miridev-cli is free and open source on npm. miri.dev has a free tier and a paid plan. vibecamp and ai-native vibecamp are paid cohorts with partial scholarships available — see the application form.
Can I use your stack with my company's existing tooling?
Yes. miri reads any git repository and writes patches as PRs. miridev-cli has JSON-RPC and exec modes meant for CI. baryon-core is MIT-licensed and runtime-agnostic — pair it with your own LLM provider.
Are you hiring?
Quietly, always. If you've shipped an agent in production and we'd recognize the codebase, send us a link and a sentence. Email's at the bottom.
Why both an English and Korean cohort?
Korea has world-class engineers and very few peer cohorts for AI-native building. We run vibecamp bilingually because the lessons travel but the network is local.